Timeline for Using surgeon-level outcome rate as a predictor of outcome in logistic mixed model regression
Current License: CC BY-SA 4.0
5 events
| when toggle format | what | by | license | comment | |
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| Jun 5, 2021 at 12:42 | history | edited | kjetil b halvorsen♦ |
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| Jun 4, 2021 at 16:20 | comment | added | EdM | How many surgeons are involved? Are surgeons treated as the random effects in the mixed model? Do you want to be able to distinguish among individual surgeons in terms of bailout rate, or do you just want an estimate of the variability among surgeons? How many other/which predictors are involved in your model? How are you proposing to use the model? Please provide that information by editing the question, as comments are easily overlooked and can get lost. Also, please define "bailout" in this context. | |
| Jun 4, 2021 at 16:12 | comment | added | Jeremy Miles | Sounds like you want binomial regression. Bailing out of 7/10 is not the same as bailing out of 700/1000. | |
| Jun 4, 2021 at 15:25 | review | First posts | |||
| Jun 4, 2021 at 16:02 | |||||
| Jun 4, 2021 at 15:19 | history | asked | user324671 | CC BY-SA 4.0 |